移動(dòng)設(shè)備網(wǎng)絡(luò)安全下人臉終端身份識(shí)別仿真
發(fā)布時(shí)間:2018-03-10 02:07
本文選題:移動(dòng)設(shè)備 切入點(diǎn):人臉終端 出處:《計(jì)算機(jī)仿真》2017年10期 論文類(lèi)型:期刊論文
【摘要】:移動(dòng)設(shè)備網(wǎng)絡(luò)安全下人臉終端身份識(shí)別,能夠高效保證用戶(hù)身份信息安全。人臉終端身份的認(rèn)證,需要對(duì)人臉終端設(shè)備中內(nèi)存資源進(jìn)行分配引導(dǎo),對(duì)人臉最優(yōu)解集進(jìn)行標(biāo)注,完成身份識(shí)別。傳統(tǒng)方法采集人臉特征圖像并進(jìn)行檢測(cè)和跟蹤,再匹配后臺(tái)數(shù)據(jù)庫(kù)人臉信息獲得識(shí)別結(jié)果,但忽略了對(duì)人臉最優(yōu)解集進(jìn)行標(biāo)注,導(dǎo)致識(shí)別精度偏低。提出基于人臉檢測(cè)識(shí)別的人臉終端身份識(shí)別方法。利用Adaboost改進(jìn)多形態(tài)人臉檢測(cè)方法,根據(jù)膚色特征搜索出局部特征確定人臉?lè)较?便于候選區(qū)域分割;基于識(shí)別信息差異性質(zhì)量及最近鄰分類(lèi)法,對(duì)人臉終端設(shè)備中的人臉圖像流數(shù)據(jù)實(shí)現(xiàn)內(nèi)存資源分配引導(dǎo),以提高臉部識(shí)別能力,對(duì)人臉最優(yōu)解集進(jìn)行標(biāo)注并且選擇出樣本集置于移動(dòng)設(shè)備內(nèi)存中,實(shí)現(xiàn)移動(dòng)設(shè)備網(wǎng)絡(luò)安全的人臉終端身份識(shí)別。實(shí)驗(yàn)結(jié)果表明,利用提出認(rèn)證方法能夠良好實(shí)現(xiàn)移動(dòng)設(shè)備身份識(shí)別。
[Abstract]:Face terminal identity recognition under mobile device network security can effectively guarantee the security of user identity information. The authentication of face terminal identity requires the allocation of memory resources in the face terminal equipment and the labeling of the face optimal solution set. The traditional method collects face feature image, detects and tracks, then matches the background database face information to obtain the recognition result, but neglects to annotate the face optimal solution set. The method of face terminal identification based on face detection and recognition is put forward. Using Adaboost to improve the multi-morphological face detection method, the local features can be searched according to the skin color feature to determine the direction of face, which is convenient for candidate region segmentation. Based on the difference quality of recognition information and the nearest neighbor classification, the memory resource allocation of face image stream data in face terminal equipment is guided to improve the ability of face recognition. The face optimal solution set is annotated and the sample set is selected to be placed in the memory of the mobile device to realize the mobile device network secure face terminal identity recognition. Using the proposed authentication method, mobile device identification can be realized well.
【作者單位】: 濰坊科技學(xué)院;
【分類(lèi)號(hào)】:TP391.41;TP393.08
【相似文獻(xiàn)】
相關(guān)期刊論文 前10條
1 陳平華,曹世民,李達(dá)領(lǐng);網(wǎng)絡(luò)安全:圖書(shū)館面臨的挑戰(zhàn)和對(duì)策[J];現(xiàn)代情報(bào);2002年10期
2 陳小梅;淺談信息化建設(shè)中的銀行網(wǎng)絡(luò)安全[J];中國(guó)金融電腦;2003年02期
3 邊鋒;;網(wǎng)絡(luò)安全融合之道[J];中國(guó)計(jì)算機(jī)用戶(hù);2007年38期
4 劉瑩;網(wǎng)絡(luò)安全問(wèn)題的探討[J];貴州工業(yè)大學(xué)學(xué)報(bào);1999年01期
5 ;美國(guó)專(zhuān)家提出加強(qiáng)網(wǎng)絡(luò)安全的10條建議[J];w攣胖蕓,
本文編號(hào):1591272
本文鏈接:http://sikaile.net/guanlilunwen/ydhl/1591272.html
最近更新
教材專(zhuān)著